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Title	Digital Twin In The Aviation Industry And The Role Of Machine Learning: A Review
ID_Doc	20211
Authors	Aggarwal P.; Narwal B.; Mohapatra A.K.; Bhati P.
Year	2023
Published	Lecture Notes in Networks and Systems, 782 LNNS
DOI	http://dx.doi.org/10.1007/978-981-99-6568-7_41
Abstract	Utilising the power of machine learning and artificial intelligence in essentially every domain, the digital twin has taken a rapid leap in the realm of manufacturing, supply chain, aviation and more. Digital twin usage has rapidly increased in past years because of its integrity, dynamics, interactive nature and central behaviour. The digital twin has integrated itself into many fields such as smart factories, smart cities and smart machines. It guarantees security in the aviation industry which is the major concern of this paper. The objective of this paper is to familiarise readers with the notion of digital twin technology and at the same time incorporate machine learning with it. Finally, the future predictive trends of the digital twin have been discussed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords	Artificial intelligence; Aviation industry; Digital twin; Integrity; Machine learning

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